摘要
为统计分析近年来国内外驾驶愤怒研究现状与热点,选取Web of Science(WOS)数据库1190篇相关论文以及中国知网(CNKI)数据库230篇相关论文作为数据源,借助文献计量学软件VoSviewer与CiteSpace生成知识图谱,并从载文量分布、作者与机构合作、发表期刊、关键词聚类与突现等方面,系统分析驾驶愤怒领域内的研究现状、热点与趋势等。结果表明:相关文献载文量不断上升,国内外学术界对驾驶愤怒领域关注度越来越高;国际驾驶愤怒领域的跨单位合作比国内更为广泛;驾驶愤怒相关量表、驾驶愤怒影响因素、愤怒与危险/攻击性驾驶行为关系、驾驶愤怒识别、驾驶愤怒干预为目前驾驶愤怒领域5大研究热点;愤怒状态下的驾驶绩效、驾驶愤怒检测系统以及基于交通工程视角的驾驶愤怒管控等方面是未来的研究趋势。
In order to analyze the research status and hotspots in the field of driving anger at home and abroad in recent years,1190 papers from the core collection of Web of Science(WOS)database and 230 papers from China National Knowledge Infrastructure(CNKI)database were selected as data sources.This paper used bibliometric software of VoSviewer and CiteSpace to generate knowledge mapping.The current status,hotspots and trends of research in the field of driving anger were systematically analyzed in terms of volume distribution,author cooperation and citation,published journals,keyword clustering and emergence,etc.The conclusions are as follows:The amount of relevant literature is increasing,and the international and domestic academic communities are paying more and more attention to the field of driving anger.The cross-unit cooperation in the international academic community is more popular than that in the domestic academic community.Research hotspots in the field of driving anger include driving anger related scales,influencing factor of driving anger,relationship between driving anger and dangerous/aggressive behaviors,driving anger identification and driving anger interventions.Driving performance under anger,driving anger detection systems and driving anger management and control from the perspective of traffic engineering are the future research trends.
作者
万平
邓鑫焰
马晓凤
WAN Ping;DENG Xinyan;MA Xiaofeng(School of Transportation Engineering,East China Jiaotong University,Nanchang Jiangxi 330013,China;Intelligent Transport Systems Research Center,Wuhan University of Technology,Wuhan Hubei 430063,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2023年第7期39-50,共12页
China Safety Science Journal
基金
国家自然科学基金资助(52062014)
江西省社会科学基金资助(23GL15)。
关键词
知识图谱(MKD)
驾驶愤怒
研究热点
关键词聚类
可视化分析
mapping knowledge domain(MKD)
driving anger
research hotspots
keyword clustering
visualization analysis
